Statistical Learning
Rethinking 3D Convolution in ℓ p-norm Space
Convolution is a fundamental operation in the 3D backbone.
The Space Complexity of Approximating Logistic Loss
D () has lower space complexity than the original problem or can be minimized more efficiently.
A Theoretical Understanding of Self-Correction through In-context Alignment Yifei Wang 1 Y uyang Wu2 Zeming Wei 3 Stefanie Jegelka 5,1
" Who among people is without fault?
Multidimensional Fractional Programming for Normalized Cuts Y annan Chen 1 Beichen Huang
FP method and the minorization-maximization theory to verify the convergence.
A Data and Software Availability 532 A.1 Data Availability
As shown in Figure 13, we applied higher noise settings (SNR 0.005, 0.001) to the
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
Single particle cryo-electron microscopy (cryo-EM) is a widely used imaging technique for visualizing biomolecular complexes at near-atomic resolution.
